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Target Trajectory Prediction in PTZ Camera Networks

Vahab Akbarzadeh, Christian Gagné, Marc Parizeau
CVPRW 2013 pp. 816-822
doi:10.1109/CVPRW.2013.122 /cvprw/2013/akbarzadeh2013cvprw-target/

Abstract

In this paper we compare different mechanisms for the prediction of targets position inside a PTZ camera network. The goal is to predict the next location of each target with higher accuracy, in order to better plan the movements of the cameras at the next time step. For that purpose, we are proposing a probabilistic multimodal approach, and show that this prediction method can improve the total coverage of a camera network compared to other probabilistic prediction methods.

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Cite

Text

Akbarzadeh et al. "Target Trajectory Prediction in PTZ Camera Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013. doi:10.1109/CVPRW.2013.122

Markdown

[Akbarzadeh et al. "Target Trajectory Prediction in PTZ Camera Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013.](https://mlanthology.org/cvprw/2013/akbarzadeh2013cvprw-target/) doi:10.1109/CVPRW.2013.122

BibTeX

@inproceedings{akbarzadeh2013cvprw-target,
  title     = {{Target Trajectory Prediction in PTZ Camera Networks}},
  author    = {Akbarzadeh, Vahab and Gagné, Christian and Parizeau, Marc},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2013},
  pages     = {816-822},
  doi       = {10.1109/CVPRW.2013.122},
  url       = {https://mlanthology.org/cvprw/2013/akbarzadeh2013cvprw-target/}
}